Instructions to use hf-internal-testing/tiny-random-BeitBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BeitBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, BeitBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") model = BeitBackbone.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cff20f3a232112d4e5aea626f955a30a2e76a38b90017836d5435238efc2f896
- Size of remote file:
- 118 kB
- SHA256:
- 0bbf30b0f94cca242ff0f8e091224a3d68c4705c22f4cd71906a1f91803ee568
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